TeQ Research – Research Tutorial for Computer Science and Technologies
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TeQ Research – Research Tutorial for Computer Science and Technologies
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TeQ Research – Research Tutorial for Computer Science and Technologies
  • Home Page
  • Computer Networks
    • Ad Hoc Networks
    • Network Security
    • Internet of Things (IoT)
    • Sensor Networks
  • Data Science and AI
    • Data Mining
    • Machine Learning
    • Deep Learning
    • Natural Language Processing
    • Big Data Analytics
    • Image Processing
  • Computing Technologies
    • Cloud Computing
    • Evolutionary Computing
    • Mobile Computing
    • Quantum Computing
    • Edge and Fog Computing
  • Software and Systems
    • Database Management Systems
    • Operating Systems
    • Software Engineering
    • Cybersecurity
    • Blockchain
  • Scholar Resources
    • Research Algorithms
    • Research Implementations
    • Research Grants Infos
    • Research Journals Infos

Posts by tag

Ensemble Learning

3 posts
ADABOOST
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  • Data Mining
  • Data Science and AI
  • Machine Learning
  • Research Algorithms

Adaptive Boost Algorithm in Machine Learning

  • March 20, 2026
  • Arun Prakasam
What is AdaBoost Algorithm? AdaBoost, short for Adaptive Boosting, is one of the earliest and most influential ensemble learning algorithms in machine learning. It was introduced by Yoav Freund and…
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Random Forest
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  • Data Mining
  • Data Science and AI
  • Machine Learning
  • Research Algorithms

Random Forest Algorithm

  • November 15, 2025
  • Arun Prakasam
What is Random Forest? Random Forest is an ensemble learning method for classification and regression that builds a collection (a “forest”) of decision trees and combines their predictions to produce…
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Gradient Boosting
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  • Data Mining
  • Data Science and AI
  • Machine Learning

Gradient Boosting Algorithm

  • November 10, 2025
  • Arun Prakasam
Gradient Boosting is one of those rare ideas in machine learning that’s both simple at its core and remarkably powerful in practice. From credit scoring and click-through prediction to anomaly…
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